\section{Type of learning}

	\begin{itemize}
		\item Supervised learning : We have a number of examples. The example is said to be produced by the unknown function $y=f(x)$.
		\item Reinforcement learning : A correct answer y is not provided for each x. Rather a general evaluation is proved after a sequence of actions.
		\item Unsupervised learning : The agent learns relationship among percept and actions.
	\end{itemize}
	
	\subsection{Supervised learning}
	
		The examples is typically divided in a training set and a test set.\\
		\textbf{Problem :} Find an hypothesis such that $h \simeq f$. Examples from the training set is used.\\
 
 	\textbf{Which hypothesis is best ?} \textit{cf slides}
 	
 	\subsection{Decision tree}
 	
 		
	
	